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| Kriging-assisted fatigue life prediction of harmonic reducer flexible wheel under random uncertainty |
| Received:June 28, 2022 Revised:August 16, 2022 |
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| DOI：10.7511/jslx20220628001 |
| KeyWord:harmonic reducer flexible wheel fatigue life finite element analysis random uncertainty active learning Kriging model |
| Author | Institution |
| 冯世哲 |
河北工业大学 机械工程学院, 天津 ;河北工业大学 省部共建电工装备可靠性与智能化国家重点实验室, 天津 |
| 马继超 |
河北工业大学 机械工程学院, 天津 ;河北工业大学 省部共建电工装备可靠性与智能化国家重点实验室, 天津 |
| 张德权 |
河北工业大学 机械工程学院, 天津 ;河北工业大学 省部共建电工装备可靠性与智能化国家重点实验室, 天津 |
| 杨美德 |
河北工业大学 机械工程学院, 天津 ;河北工业大学 省部共建电工装备可靠性与智能化国家重点实验室, 天津 |
| 韩旭 |
河北工业大学 机械工程学院, 天津 ;河北工业大学 省部共建电工装备可靠性与智能化国家重点实验室, 天津 |
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| Abstract: |
| As the core transmission of a harmonic reducer,the flexible wheel is prone to failure under cyclic loads,whose fatigue life can directly affect the life of the entire harmonic reducer.To reveal the influence of random uncertainties on the life of the flexible wheel,this study explores its fatigue life prediction by accounting for the uncertainties arising from material properties and loads.Firstly,the three-dimensional model and the finite element model of flexible wheel are established,and the fatigue life of flexible wheel under deterministic conditions is computed using finite element analysis and life prediction strategy.Subsequently,uncertainties are designated according to the material properties and loads,and the Latin hypercube sampling technique is employed to experimentally design the flexible wheel.Finally,according to the active learning Kriging model and P-S-N curve of the flexible wheel material,the fatigue life analysis is performed by sequentially adding points.Comparisons are conducted between the statistical and deterministic results of the fatigue life of the flexible wheel.Results indicate that the fatigue life considering random uncertainties is shorter compared with the one under deterministic conditions,which offers a reference for the fatigue resistance design of flexible wheels. |
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